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CloudaQube
AI-powered learning
beginnerAi MlFree

Generative AI Fundamentals

Understand how large language models work and how to use them. From transformer architecture and prompting techniques through fine-tuning, RLHF, and responsible AI — ending with a hands-on document Q&A application. Based on DeepLearning.AI 'Generative AI with LLMs' (Coursera) and Google Cloud's Generative AI Learning Path.

4.80/5.0
8 hours
1,841 enrolled
Updated Apr 2026
Course Content ↓

By CloudaQube Team

What You'll Learn

Explain how transformer architecture and attention mechanisms power LLMs
Apply zero-shot, few-shot, and chain-of-thought prompting techniques
Fine-tune a model using instruction tuning and PEFT/LoRA
Understand RLHF and how it aligns LLMs with human preferences
Apply responsible AI principles to generative AI systems
Deploy an LLM-powered application with retrieval-augmented generation

Prerequisites

  • Basic Python programming
  • Familiarity with machine learning concepts helpful but not required

About the Instructor

C

CloudaQube Team

Expert instructor with hands-on industry experience in Ai Ml.

Free

LevelBeginner
Duration8 hours
Lessons—
Students1,841
Rating4.80 / 5.0

This course includes

  • Hands-on practice labs
  • AI-powered explanations
  • Progress tracking
  • Certificate of completion
  • Lifetime access
14-day money-back guarantee